A Bayesian approach for predicting risk of autonomous underwater vehicle loss during their missions.
Mario BritoGwyn GriffithsPublished in: Reliab. Eng. Syst. Saf. (2016)
Keyphrases
- autonomous underwater vehicle
- autonomous underwater vehicles
- space exploration
- risk measures
- high risk
- risk management
- risk factors
- minimum risk
- decision making
- information systems
- hidden markov models
- risk assessment
- neural network
- cooperative
- unmanned aerial vehicles
- search and rescue
- case study
- decision trees
- expected loss
- artificial intelligence